guia-matthieu/llm-optimized-content
Use when creating content that must be discoverable by AI search engines (ChatGPT, Perplexity, Gemini). Use when SEO alone isn't enough, when you need AI citations, or when optimizing for the "zero-click" future.
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill llm-optimized-content> Create content optimized for AI-powered search using Generative Engine Optimization (GEO) principles.
Create content optimized for both traditional search engines AND AI/LLM-powered search (ChatGPT, Perplexity, Google AI Overviews, Claude) using Generative Engine Optimization (GEO) principles.
Generative Engine Optimization = Practices to ensure AI models:
Strategic Importance: Gartner predicts 25% drop in traditional search volume by 2026. Queries now average 23 words (vs. 4 before).
| Criteria | SEO (Traditional) | GEO (New Frontier) |
|----------|-------------------|-------------------|
| Objective | Rank page on Google SERP | Become the SOURCE in AI response |
| Metric | Position on results page | Mention/citation in generated response |
| Mechanic | Links, backlinks, domain authority | Language, semantics, contextual relevance |
| User Result | Click to your site | Info consumed without click |
| Optimization | Keywords, tags, structure | Semantic clarity, E-E-A-T, direct answers |
Principle: AI must understand CONTEXT, not just keywords.
Actions:
❌ "Our SEO GEO optimization ranking solution"
✅ "GEO (Generative Engine Optimization) optimizes content so AI like
ChatGPT cites your brand in their responses."
Principle: Provide key answer at the BEGINNING, not the end.
Actions:
Optimal Structure:
## [Question]
[Direct answer in 1-2 sentences]
[Detailed development]
[Concrete examples]
[Conclusion/Action]
Example:
## What is ethical copywriting?
Ethical copywriting is a persuasive writing approach that excludes
manipulation and is founded on transparency, honesty, and respect
for the prospect.
[Details follow...]
Principle: AI favors content that's easy to analyze ("parse").
✅ "## How to create a landing page that converts?"
❌ "## The secret marketers don't want you to know"
E-E-A-T = Expertise + Experience + Authority + Trustworthiness
Concrete Signals to Integrate:
"According to a [University X] study published in [year]..."
"Based on our analysis of [X] clients over [period]..."
"Source: [URL of official document]"
"Last updated: [date]"
Data:
Ideal GEO Article Structure:
1. Intro with direct answer (100-150 words)
2. Definition/Context (200-300 words)
3. In-depth development (1500-2000 words)
- Subsections with H2/H3
- Concrete examples
- Tables/lists
4. Case studies/Proof (300-500 words)
5. Actionable conclusion (100-150 words)
Principle: AI favors RECENT information.
Actions:
Principle: Facilitate extraction and citation by AI.
Techniques:
❌ "That's 37% more."
✅ "Ethical copywriting increases conversion rates by 37% on average
compared to manipulative approaches."
# [H1: Clear Title with Primary Topic]
[Opening paragraph with direct answer to main query]
## Quick Summary
- **What:** [One-line definition]
- **Why it matters:** [Key benefit/importance]
- **Key takeaway:** [Main action or insight]
## Table of Contents
[For posts >1500 words]
## [H2: First Major Section]
[Direct answer/definition first, then elaboration]
### [H3: Supporting Detail]
[Expand with examples, data, explanations]
## [H2: How to [Action]]
1. **Step 1:** [Clear instruction]
- [Supporting detail]
2. **Step 2:** [Clear instruction]
- [Supporting detail]
## [H2: Comparison Section] (if applicable)
| Aspect | Option A | Option B |
|--------|----------|----------|
| [Criteria] | [Value] | [Value] |
## Key Takeaways
- [Bullet summary 1]
- [Bullet summary 2]
- [Bullet summary 3]
## Frequently Asked Questions
### [Natural language question]?
[2-3 sentence direct answer]
### [Natural language question]?
[2-3 sentence direct answer]
## Conclusion
[Summary + clear call to action]
---
*Last updated: [Date]*
*Sources: [Citations]*
For any topic, consider addressing:
Simultaneously optimize for:
❌ Keyword stuffing → AI detects and devalues
❌ Clickbait headlines → AI seeks descriptive info
❌ Superficial content → AI prefers depth
❌ Absence of sources → Trustworthiness questioned
❌ Unexplained jargon → Missing context
❌ Buried answers → AI scans the beginning
| Claude handles | You provide |
|---------------|-------------|
| Applying GEO structure and formatting | Topic expertise and unique insights |
| Creating FAQ sections from content | Validation of accuracy |
| Optimizing for semantic clarity | E-E-A-T signals (credentials, experience) |
| Suggesting citable sentence structures | Source verification and dates |
| Generating comparison tables | Strategic decisions on positioning |
| Pass | Focus | Action |
|------|-------|--------|
| 1st | Structure | Apply GEO template, answer-first format |
| 2nd | E-E-A-T | Add citations, credentials, dates |
| 3rd | Citability | Make sentences autonomous and extractable |
| 4th | Checklist | Run GEO checklist to verify all elements |
name: llm-optimized-content
category: seo-tools
subcategory: geo
version: 2.0
author: GUIA
source_expert: GEO Framework (Gartner, industry research)
difficulty: intermediate
mode: cyborg
tags: [geo, seo, llm, ai-search, content, perplexity, chatgpt]
created: 2026-01-28
updated: 2026-02-03
Take guia-matthieu/llm-optimized-content from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.